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This study aims to develop our understanding of the value co-creation process in business networks. This study identifies four key sub-processes that characterize the value co-creation journey as it unfolds across an inter-organizational network. These four sub-processes are opportunity co-creation, solution co-creation, complementary co-creation and activated co-creation.

Reflecting the exploratory nature of this research, the methodology relies on an in-depth case study, which is analyzed through the lens of the resource interaction occurring within the specific business relationships and collaborative episodes that affected the nine-year long development of Deko, a new architectural lighting solution.

The main contribution of the paper is identifying the sub-processes comprising the value co-creation journey of a technology development solution based on resource combining, re-combining and un-combining across a business network. That value co-creation occurs through a time-consuming journey requiring multiple episodes of collaboration can also inspire the practice of handling this process for instance for a small business such as the one featured in this case study.

This paper highlights that the value co-creation journey process has the potential to frame the unfolding of collaboration in practice for a small business.

In the present fast-paced and globalized age of war, special operations forces have a comparative advantage over conventional forces because of their small, highly-skilled units. Largely because of these characteristics, special operations forces spend a disproportionate amount of time deployed. The amount of time spent deployed affects service member’s quality of life and their level of preparedness for the full spectrum of military operations. In this paper, the authors ask the following question: How many force packages are required to sustain a deployed force package, while maintaining predetermined combat-readiness and quality-of-life standards?

The authors begin by developing standardized deployment-to-dwell metrics to assess the effects of deployments on service members’ quality of life and combat readiness. Next, they model deployment cycles using continuous time Markov chains and derive closed-form equations that relate the amount of time spent deployed versus at home station, rotation length, transition time and the total force size.

The expressions yield the total force size required to sustain a deployed capability.

Finally, the authors apply the method to the US Air Force Special Operations Command. This research has important implications for the force-structure logistics of any military force.

Competition among higher education institutions has pushed universities to expand their competitive advantages. Based on the assumption that the core functions of universities are academic, understanding the teaching–learning process with the help of student evaluation of teaching (SET) would seem to be a logical solution in increasing competitiveness. The paper aims to discuss these issues.

The current paper presents a narrative literature review examining how SETs work within the concept of service marketing, focusing specifically on the search, experience, and credence qualities of the provider. A review of the various factors that affect the collection of SETs is also included.

Relevant findings show the influence of students’ prior expectations on SET ratings. Therefore, teachers are advised to establish a psychological contract with the students at the start of the semester. Such an agreement should be negotiated, setting out the potential benefits of undertaking the course and a clear definition of acceptable performance within the class. Moreover, connections should be made between courses and subjects in order to provide an overall view of the entire program together with future career pathways.

Given the complex factors affecting SETs and the antecedents involved, there appears to be no single perfect tool to adequately reflect what is happening in the classroom. As different SETs may be needed for different courses and subjects, options such as faculty self-evaluation and peer-evaluation might be considered to augment current SETs.

Caesarean section (CS) is being used as a life-saving surgical tool when complications arise in the process of childbirth. CS rates have dramatically increased across the world, especially in recent decades. In this background, the purpose of this paper is to explore the CS rates and its determinants in Karnataka, India.

The study uses multiple rounds of the District Level Household Survey (DLHS) data to show the trends, differentials and determinants in CS deliveries. Both bivariate and multivariate analyses have been carried out, and the χ² test and logistic regression models were applied.

Result shows a sharp increase in CS rates across Karnataka; further, this is high and reaches an alarming level in southern parts of the state. Along with a huge rural–urban difference, significant biological and socio-economic differences were observed. Further, a very dramatic increase in the CS rate was observed in private health facilities, whereas it was stagnant or even decreased in public health facilities during recent years. Mothers age at birth, birth weight, birth order, multiple births, birth institution and place of residence were significantly associated with CS delivery. Unlike these biological factors, the social-economic factors like maternal education, caste, religion and below poverty line household were not found to be significant in determining CS deliveries.

A strong policy to address the dramatic increase in CS deliveries is the need of the hour. Further, there should be a proper mechanism at national, state and sub-state level to provide appropriate checks and monitoring for CS deliveries which are unnecessary.

Entrepreneurship researchers use various types of screening criteria to select samples for study. In that selecting these criteria is, in effect, choosing a definition or model of entrepreneurship, the consequences are immense and have had a direct impact on the generalizability of research and theory development in our field. The purpose of this study is to help entrepreneurship researchers better understand these consequences and, thereby, improve our understanding of entrepreneurial phenomenon. Four of the most commonly used screening criteria are included in this study: firm age, firm size, firm growth, and innovation. Based on a sample of 368 manufacturing firms, the results indicate that few firms fit all or even most of the considered screening criteria and independent-dependent variable relationships vary considerably by screening criteria selection.